Improve Reliability and Prevent Outages Across Your Organization

As the pressure to provide “always on,” 24/7 service increases, so does data complexity — yet many organizations still rely on ineffective legacy IT solutions. To meet the demands of customers, employees, and the business, IT needs a proactive approach for predicting and preventing issues before interruptions or outages occur. This white paper from Harvard Business Review Analytic Services, sponsored by Splunk, shows you how predictive analytics and machine learning can help your organization cut costs, streamline operations, raise productivity and improve the customer experience.

Beyond making operations more efficient, predictive IT can help avoid loss of revenue and customers to help you stay ahead of your competition. This white paper gives compelling insights into how AI and ML can be harnessed to improve reliability and create the core of a dynamic predictive IT system.

Download your copy to learn:

• How companies like Viasat and TransUnion benefit from predictive IT
• Four steps for building a robust predictive IT structure
• How to ensure your predictive IT solution keeps delivering value

As the quantity and complexity of systems and data grow, however, it’s becoming even harder for IT organizations to deliver, and data remains at the heart of both the problem and the solution. By embracing predictive IT early, organizations have a chance not only to wrangle their swelling data streams but also to put them to best use.

The Virtual Forge has partnered with Splunk, the world’s first Data-to-Everything Platform. With Splunk, organisations no longer need to worry about where their data is coming from: they can instead focus on the real business outcomes that data can deliver. Contact us below to find out more.

Download this white paper to get ahead today.